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GPT Sw3 20B by AI-Sweden-Models

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  Autotrain compatible   Da   En   Endpoints compatible   Gpt2   Is   No   Pytorch   Region:us   Safetensors   Sharded   Sv   Tensorflow
Model Card on HF 🤗: https://huggingface.co/AI-Sweden-Models/gpt-sw3-20b 

GPT Sw3 20B Benchmarks

ARC: 41.81 vs 96.7 (so35)-56.8%
HellaSwag: 68.75 vs 95.3 (gpt4)-27.9%
MMLU: 28.47 vs 88.3 (so35)-67.8%
TruthfulQA: 37.1 vs 59 (gpt4)-37.1%
WinoGrande: 67.17 vs 87.5 (gpt4)-23.2%
GSM8K: 0.99 vs 96.4 (so35)-99%
LLME Score: 0.11095
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GPT Sw3 20B (AI-Sweden-Models/gpt-sw3-20b)
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GPT Sw3 20B Parameters and Internals

Model Type 
decoder-only, transformer, language model
Use Cases 
Areas:
research, evaluation of LLM capabilities
Applications:
Nordic NLP ecosystem validation and testing
Primary Use Cases:
language generation tasks
Limitations:
bias, safety, generation diversity, hallucination
Additional Notes 
GPT-SW3 is compliant with the Modified RAIL license focusing on communication and transparency regarding LLMs.
Supported Languages 
da (advanced), sv (advanced), no (advanced), en (advanced), is (advanced)
Training Details 
Data Sources:
Books, Articles, Code, Conversational, Math, Miscellaneous, Web Sources
Data Volume:
320B tokens
Methodology:
NeMo Megatron GPT implementation
Model Architecture:
decoder-only transformer
Release Notes 
Version:
Second Generation
Date:
2022-12-20
Notes:
Release of second generation of GPT-SW3 model.
LLM NameGPT Sw3 20B
Repository 🤗https://huggingface.co/AI-Sweden-Models/gpt-sw3-20b 
Model Size20b
Required VRAM83.2 GB
Updated2025-09-27
MaintainerAI-Sweden-Models
Model Typegpt2
Model Files  9.5 GB: 1-of-9   9.7 GB: 2-of-9   9.7 GB: 3-of-9   9.7 GB: 4-of-9   9.7 GB: 5-of-9   9.7 GB: 6-of-9   9.7 GB: 7-of-9   9.7 GB: 8-of-9   5.8 GB: 9-of-9   9.5 GB: 1-of-9   9.7 GB: 2-of-9   9.7 GB: 3-of-9   9.7 GB: 4-of-9   9.7 GB: 5-of-9   9.7 GB: 6-of-9   9.7 GB: 7-of-9   9.7 GB: 8-of-9   5.8 GB: 9-of-9
Supported Languagesda sv no en is
Model ArchitectureGPT2LMHeadModel
Licenseother
Transformers Version4.25.0.dev0
Tokenizer ClassGPTSw3Tokenizer
Vocabulary Size64000
Torch Data Typefloat32
Activation Functiongelu

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Note: green Score (e.g. "73.2") means that the model is better than AI-Sweden-Models/gpt-sw3-20b.

Rank the GPT Sw3 20B Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Release v20241124
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